import pandas as pd

lis = [['CIN', 'COMPANY NAME', 'DATE OF INCORPORATION', 'STATE', 'ROC', 'CATEGORY', 'SUB CATEGORY', 'CLASS', 'AUTHORIZED_CAPITAL', 'PAID CAPITAL'],
['CIN', 'COMPANY NAME', 'INC-29', 'DATE OF INCORPORATION', 'STATE', 'ROC', 'CATEGORY', 'SUB CATEGORY', 'CLASS', 'AUTHORIZED_CAPITAL', 'PAID CAPITAL', 'NUMBER OF MEMBERS (Applicable only in case of Co. without share Capital)', 'ACTIVITY_DESCRIPTION', 'REGISTERED_OFFICE_ADDRESS'],
['CIN', 'COMPANY NAME', 'DATE OF REGISTRATION', 'MONTH NAME', 'STATE', 'ROC', 'CLASS', 'COMPANY STATUS', 'COMPANY TYPE', 'CATEGORY', 'ACTIVITY CODE', 'ACTIVITY DESCRIPTION', 'REGISTERED OFFICE ADDRESS'],
['CIN', 'COMPANY NAME', 'DATE OF REGISTRATION', 'MONTH NAME', 'STATE', 'ROC', 'TYPE OF OFFICE', 'COMPANY STATUS', 'ACTIVITY CODE', 'ACTIVITY DESCRIPTION', 'REGISTERED OFFICE ADDRESS'],
['CIN', 'COMPANY NAME', 'DATE OF REGISTRATION', 'MONTH NAME', 'STATE', 'ROC', 'TYPE OF OFFICE', 'COMPANY STATUS', 'ACTIVITY CODE', 'ACTIVITY DESCRIPTION', 'REGISTERED OFFICE ADDRESS', 'EMAIL'],
['CIN', 'COMPANY NAME', 'DATE OF REGISTRATION', 'MONTH NAME', 'STATE', 'ROC', 'CLASS', 'COMPANY STATUS', 'COMPANY TYPE', 'CATEGORY', 'AUTHORIZED CAPITAL', 'PAIDUP CAPITAL', 'ACTIVITY CODE', 'ACTIVITY DESCRIPTION', 'REGISTERED OFFICE ADDRESS'],
['CIN', 'COMPANY NAME', 'DATE OF REGISTRATION', 'MONTH NAME', 'STATE', 'ROC', 'COMPANY STATUS', 'CATEGORY', 'CLASS', 'COMPANY TYPE', 'AUTHORIZED CAPITAL', 'PAIDUP CAPITAL', 'ACTIVITY CODE', 'ACTIVITY DESCRIPTION', 'REGISTERED OFFICE ADDRESS'],
['CIN', 'COMPANY NAME', 'DATE OF REGISTRATION', 'MONTH NAME', 'STATE', 'ROC', 'COMPANY STATUS', 'Company Category', 'CLASS', 'Company Type', 'AUTHORIZED CAPITAL', 'PAIDUP CAPITAL', 'ACTIVITY CODE', 'ACTIVITY DESCRIPTION', 'REGISTERED OFFICE ADDRESS', 'EMAIL'],
['CIN', 'COMPANY NAME', 'DATE OF REGISTRATION', 'MONTH NAME', 'STATE', 'ROC', 'COMPANY STATUS', 'CATEGORY', 'CLASS', 'COMPANY TYPE', 'AUTHORIZED CAPITAL', 'PAIDUP CAPITAL', 'ACTIVITY CODE', 'ACTIVITY DESCRIPTION', 'REGISTERED OFFICE ADDRESS', 'EMAIL'],
['CIN', 'COMPANY NAME', 'DATE OF REGISTRATION', 'MONTH NAME', 'STATE', 'ROC', 'COMPANY STATUS', 'CATEGORY', 'CLASS', 'COMPANY TYPE', 'Paid-up Capital (In Thousand Rs.)', 'Authorized Capital (In Thousand Rs.)', 'ACTIVITY CODE', 'ACTIVITY DESCRIPTION', 'REGISTERED OFFICE ADDRESS', 'EMAIL'],
['CIN', 'COMPANY_NAME', 'DATE_OF_REGISTRATION', 'MONTH_NAME', 'STATE', 'ROC', 'CLASS', 'COMPANY_STATUS', 'COMPANY_TYPE', 'CATEGORY', 'AUTHORIZED_CAPITAL', 'PAIDUP_CAPITAL', 'ACTIVITY_CODE', 'ACTIVITY_DESCRIPTION', 'REGISTERED_OFFICE_ADDRESS'],
['CIN', 'COMPANY_NAME', 'DATE_OF_REGISTRATION', 'MONTH_NAME', 'STATE', 'ROC', 'TYPE OF OFFICE', 'COMPANY_STATUS', 'TYPE', 'ACTIVITY_CODE', 'ACTIVITY_DESCRIPTION', 'REGISTERED_OFFICE_ADDRESS'],
['CIN', 'Company Name', 'Date of Registration', 'Month Name', 'State ', 'ROC', 'Company Status', 'Company Category', 'Company Class', 'Nature of Company', 'Authorized Capital (In Thousand Rs.)', 'Paid-up Capital (In Thousand Rs.)', 'Industrial Activity Code', 'ACTIVITY DESCRIPTION', 'Company Address', 'Company Email ID'],
['ROC Location', 'CIN', 'Company Name', 'Date of Registration', 'MONTH NAME', 'Company Class', 'Listed Flag', 'Company Category', 'Company Sub-category', 'Company Status', 'Nature of Company', 'Industrial Activity Code', 'Industrial Description', 'State ', ' Address', 'Company Email ID', 'Paid-up Capital (In Thousand Rs.)', 'Authorized Capital (In Thousand Rs.)'],
['ROC Location', 'CIN', 'Company Name', 'Date of Registration', 'MONTH NAME', 'Company Class', 'Listed Flag', 'Company Category', 'Company Sub-category', 'Company Status', 'Nature of Company', 'Industrial Activity Code', 'State ', 'Company Address', 'Company Email ID', 'Paid-up Capital (In Thousand Rs.)', 'Authorized Capital (In Thousand Rs.)'],
['FCIN', 'COMPANY NAME', 'DATE OF REGISTRATION', 'MONTH NAME', 'STATE', 'ROC', 'TYPE OF OFFICE', 'COMPANY STATUS',
 'ACTIVITY CODE', 'ACTIVITY DESCRIPTION', 'REGISTERED OFFICE ADDRESS', 'EMAIL'],
['FCIN', 'Company Name', 'Date', 'Status', 'Activity', 'Description', 'Office Type', 'Address', 'Email', 'State'],
['FCRN', 'COMPANY NAME', 'DATE OF REGISTRATION', 'COUNTRY OF INCORPORATION', 'STATE', 'ROC', 'TYPE OF OFFICE', 'ACTIVITY DESCRIPTION', 'FOREIGN OFFICE ADDRESS', 'FOREIGN COMPANY PRESENT ADDRESS IN INDIA']
]

df = pd.DataFrame(lis)
print(df.values)
df.rename(columns={})